Hongseok Namkoong is an Assistant Professor in the Decision, Risk, and Operations division at Columbia Business School. His research and teaching interests lie at the interface of operations research, machine learning, and statistics. In particular, his research develops reliable machine learning methods for decision-making problems. Hong is a recipient of several awards and fellowships, including best paper awards at the Neural Information Processing Systems conference and the International Conference on Machine Learning (runner-up), and the best student paper award from the INFORMS Applied Probability Society. Hong received his Ph.D. from the Department of Management Science and Engineering at Stanford University, and worked as a research scientist at Facebook Core Data Science before joining Columbia.